Reducer optimization design implementation method based on switching sequential sampling mode

A sampling mode and optimization design technology, which is applied in the direction of instruments, calculations, and special data processing applications, can solve the problems of time-consuming high-precision analysis models and calculations, and achieve the goal of reducing redundant sample points and improving global optimization efficiency Effect

Active Publication Date: 2019-05-21
SHANGHAI JIAO TONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Apply traditional high-precision analysis models in the process of structural optimization design, such as finite element analysis (Finiteelement analysis, FEA) model, computational fluid dynamics (Computational fluid dynamic, CFD ) model to calculate the response value of design variables can effectively improve the accuracy and reliability of the design results, but the high-precision analysis model also brings the problem of time-consuming calculation while improving the analysis accuracy and reliability
Today, high-performance computers, parallel computing, distributed computing and database technologies are developing rapidly, but it is still very time-consuming to call high-precision analysis models in the process of structural optimization design

Method used

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  • Reducer optimization design implementation method based on switching sequential sampling mode
  • Reducer optimization design implementation method based on switching sequential sampling mode
  • Reducer optimization design implementation method based on switching sequential sampling mode

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Experimental program
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Embodiment Construction

[0016] Such as figure 2 As shown, the optimization target involved in this embodiment is to reduce the speed of the vehicle reducer (such as figure 2 shown) quality.

[0017] This embodiment includes the following steps:

[0018] Step 1. Establish a global optimization problem according to the task requirements of the automobile reducer, determine the design variables and design space A, and set the initial sample points NP ini and the maximum number of iterations k max , and let the iteration count parameter k=1.

[0019] The global optimization problem described is:

[0020]

[0021] subject to:

[0022]

[0023]

[0024]

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[0027]

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[0030]

[0031]

[0032]

[0033] where: g 1 ~ g 11 Design constraints for automotive reducers, including gear tooth bending stress, gear shaft surface stress, axial stress, etc.; x 1 ~x 7 Design variables for the automotive reducer, including the tooth width of ...

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Abstract

The invention relates to a reducer optimization design implementation method based on a switching sequential sampling mode, which comprises the following steps of: constructing an initial database byadopting a Latin hypercube sampling method and a high-precision calculation model, and constructing an initial agent model according to the initial database; In the process of iteratively updating anagent model sample point, mutually independent global-oriented optimal search and/or local-oriented optimal search are/is adopted; switching the sequential sampling modes according to the search parameters obtained in the iteration process of the agent model; According to the method, the exploration capability of sample points on the whole design space in the iteration process is enhanced, and meanwhile, redundant sample points are effectively prevented from being generated in the iteration process, so that the optimization precision of the sequential sampling agent model global optimization algorithm is improved, and the optimization efficiency of the sequential sampling agent model global optimization algorithm is improved.

Description

technical field [0001] The present invention relates to a technique in the field of engineering design, in particular to a method for implementing an optimal design of a reducer based on switching sequential sampling modes. Background technique [0002] In the process of structural optimization design, the application of traditional high-precision analysis models, such as finite element analysis (Finite element analysis, FEA) model, computational fluid dynamics (Computational fluid dynamic, CFD) model, etc. to calculate the response value of design variables can effectively improve the accuracy of design results. Accuracy and reliability, but the high-precision analysis model also brings the problem of time-consuming calculation while improving the analysis accuracy and reliability. Today, high-performance computers, parallel computing, distributed computing, and database technologies are developing rapidly, but it is still very time-consuming to call high-precision analysis...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 刘钊李钼石许灿朱平
Owner SHANGHAI JIAO TONG UNIV
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